Latest AI and machine learning research in hospital-based medicine for healthcare professionals.
BACKGROUND: In 2008, the United States spent $2.2 trillion for healthcare, which was 15.5% of its GD...
STUDY OBJECTIVE: To determine the factors that allow for a safe outpatient robotic-assisted minimall...
Laparoscopic cholecystectomy is widely considered as the treatment of choice for acute cholecystitis...
We present a novel design of an intelligent robotic hospital bed, named Flexbed, with autonomous nav...
OBJECTIVES: The objective of this study was to assess the impact of robotic approaches on outcomes o...
A commonly used method for evaluating a hospital's performance on an outcome is to compare the hospi...
PURPOSE: To evaluate the usability of a mobile telepresence robot (MTR) in a hospital training apart...
PURPOSE: This study investigates the effectiveness of Lokomat + conventional therapy in recovering w...
BACKGROUND: A precondition for the success of the prevention of SSI is the complete realisation of t...
To develop a machine learning diagnostic model for T-shaped uterus based on quantitative parameters...
The CONCERN Early Warning System (EWS) uses artificial intelligence (AI) to analyze nursing document...
Diabetes, a chronic disease, often leads to poor health outcomes and increased healthcare costs, par...
Precocious puberty, including Peripheral Precocious Puberty (PPP) and Central Precocious Puberty (CP...
This study explores the use of Large Language Models (LLMs) in extracting and structuring allergic r...
BACKGROUND: Approximately 20% of patients who are discharged from hospital for an acute exacerbation...
Recent advancements in machine learning bring unique opportunities in health fields but also pose co...
There is a growing demand for medical pseudo-data that maintains statistical utility, enabling the a...
BACKGROUND: The diagnosis of malnutrition has evolved with the GLIM recommendations, which advocate ...
Dengue pathogenesis involves immune-driven inflammation that contributes to severe disease progressi...
BACKGROUND AND OBJECTIVE: Continuous, real-time monitoring of Length of Stay (LoS) for critically il...
BACKGROUND AND AIMS: Accurate dietary intake assessment is essential for nutritional care in hospita...